Gemini AI
This MCP server provides Google Gemini AI services integration, offering advanced image generation, editing, and video creation capabilities through Google's latest models including Gemini 2.5 Flash, Imagen 4.0, and Veo 3.0. Built with Go and featuring direct JSON-RPC protocol implementation over stdio transport, it supports text-to-image generation with style controls and quality settings, image editing with targeted modifications, multi-image blending and composition, high-quality Imagen-based image generation, and both text-to-video and image-to-video creation with configurable aspect ratios and resolutions. The implementation includes automatic file saving with metadata generation, comprehensive error handling, and Docker deployment support, making it valuable for content creators, developers building AI-powered media applications, and teams needing programmatic access to Google's cutting-edge generative AI models for visual and video content production workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/holocode-ai/gemini-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Gemini AI from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.